Health and Me

Rachel V Thomas

AI Creates 16 Viruses To Kill Drug-Resistant E. coli, Raises Biosafety Concerns

In a major scientific breakthrough, researchers at Stanford University have used <span>artificial intelligence</span> (AI) to design entirely new viruses that do not exist in nature.

The AI-generated viruses successfully killed Escherichia coli (E. coli) bacteria that had become resistant to naturally occurring bacteriophages (phages)—viruses that infect and destroy bacteria—offering new hope for tackling antibiotic-resistant infections.

The study, published in the journal Science, also raises important biosafety concerns, as the same technology could potentially be misused to design harmful pathogens.

Chemical engineer Brian Hie and bioengineering graduate student Samuel King developed Evo 2, a generative AI model capable of writing complete DNA sequences and designing entirely new genomes.

The researchers focused on bacteriophages, viruses that infect bacteria and are already being explored as alternatives to antibiotics for treating difficult bacterial infections.

Using genomes designed by Evo 2, the team synthesized nearly 300 novel phages and tested them against E. coli. From these, they identified 16 highly effective phages that successfully killed bacteria resistant to naturally occurring phages.

The researchers believe the ability to rapidly design customized phages could transform phage therapy and expand the arsenal against antibiotic-resistant bacteria.

The team redesigned bacteriophage ΦX174, one of the simplest known viruses. Despite its small size, ΦX174 efficiently infects and kills bacteria, making it a valuable model for developing new phage therapies.

<h2>A New Weapon Against <span rel="noindex">Antibiotic Resistance</span></h2>

One of the biggest challenges in infectious disease treatment is that bacteria eventually develop resistance to antibiotics—and even to individual phages. To overcome this, the researchers designed a genetically diverse cocktail of 16 AI-created phages.

"If the bacteria gain resistance to a single phage, it's game over for the medication," Hie said. "But if you have multiple genetically distinct phages in a mixture, it would be harder for the bacteria to develop resistance to the entire cocktail."

The team showed that the phage cocktail successfully eliminated E. coli strains that had become resistant to the natural ΦX174 virus.

"We have a proof of concept in the paper, where we show that this cocktail of 16 phages rapidly overcomes resistance in E. coli that is immune to native ΦX174," Hie said.

Researchers believe the same AI-driven approach could eventually be used to develop phages against other drug-resistant bacteria, including:

<ul><li>Mycobacterium tuberculosis (tuberculosis)</li><li>Methicillin-resistant <span rel="noindex">Staphylococcus aureus</span> (MRSA)</li><li>Pseudomonas aeruginosa, a leading cause of antibiotic-resistant hospital-acquired infections</li></ul>

If successful, AI-designed phage cocktails could provide a powerful alternative to conventional antibiotics, whose effectiveness continues to decline because of antimicrobial resistance.

The researchers have made Evo 2 freely available as open-source software, allowing scientists around the world to design and study new genomes.

While this could accelerate advances in medicine and biotechnology, experts say it also highlights the urgent need for stronger oversight.

"The ability to compose viral genomes using generative AI now exists; the governance to safely steer it does not," wrote Prof. Tom Inglesby and Dr. Moritz Hanke of the Center for Health Security at Johns Hopkins University in an accompanying Science commentary.

Tom Ellis, Professor of Synthetic Genome Engineering at Imperial College London, described the research as impressive but cautioned that AI could theoretically be used to design harmful viruses if trained on the genetic code of dangerous pathogens, The Guardian reported.

However, he said safeguards—such as restricting access to sensitive genetic data and screening synthetic genomes before they are manufactured—could help reduce those risks.

Health Conditions A-Z

health

ai-creates-16-viruses-to-kill-drug-resistant-e-coli-raises-biosafety-concerns

staphylococcus aureus

artificial intelligence

AI Creates Viruses

E. coli (Escherichia coli)

Drug Resistant bacteria

Antibiotic Resistance

donald-trump-mulls-order-targeting-childhood-vaccines-and-autism

Donald Trump Mulls Order Targeting Childhood Vaccines And Autism

alex-hughes-former-manchester-united-stars-son-dies-of-sudden-adult-death-syndrome

Alex Hughes: Former Manchester United Star’s Son Dies of Sudden Adult Death Syndrome

Health News

8 Sit-Up Variations to Strengthen Your Core and Build Stability

Benefits Of Ayurvedic Health Supplement Ashwagandha

9 Anti-Inflammatory Breakfast Options You Should Try

5 Foods You Should Avoid For PCOS, Says Gynecologist

Love Sitting With Your Legs Crossed? Here’s You Should Avoid It

6 Daily Foods That Are Secretly Increasing Your Calories

9 Brain Boosters You Should Do Everyday

Hip Exercises That Will Keep You Flexible As You Age

9 Leg Exercises Office Workers’ Should Do At Home

Benefits of Having Herbal Tea Every Morning

9 Daily Habits That Boost Your Brain Power

Lower-Body Exercises That Are Game-Changers

How Drinking Apple Cider Vinegar Helps You

Aging Myths You Should Never Believe

Superfoods That Support Your Gut Health

What Happens To Your Body When You Eat Instant Noodles Every Day?

Health Issues Premature Babies Often Face

Exercises Office Workers Should Do For Their Heart Health

Reasons Why You Should Add Raw Turmeric To Your Diet

Benefits Of Drinking Milk At Night: Why You Should Do It

Food That Provides Vitamin B12 Naturally In Your Diet

Surprising Health Benefits Of Fenugreek Seeds

9 Superfoods You Should Eat For Your Brain Health

What Does Mental Health Support Look Like At Work?

Long Stretches You Should Do To Unwind From Your Day

Colon Cancer In Young Adults: Early Symptoms You Should Know

Health Benefits Of Eating Dry Fruits Everyday

Are You At Risk For Fried Rice Syndrome?

These Tests Reveal How Well You Are Aging

Lower-Back Exercises You Should Do After A Long-Day's Work

Children’s Diet – What Kids Need To Eat For Immunity Building

Common Diabetes Myths That Could Hurt Your Health

Love Spicy Food? Here’s How It Affects Your Health

Superfood List: Veggies And Fruits You Must Have For Immunity

Foods People With IBS Should Avoid

Exercises To Improve Digestion

Easy Work Lunches You Can Make In The Morning

Hunger Vs Craving: Difference Explained In 60 seconds

These Things Can Cause Your Heart To Age Faster

High Carb Foods That Are Actually Healthy

In a major scientific breakthrough, researchers at Stanford University have used artificial intelligence (AI) to design entirely new viruses that do not exist in nature.The AI-generated viruses successfully killed Escherichia coli (E. coli) bacteria that had become resistant to naturally occurring bacteriophages (phages)—viruses that infect and destroy bacteria—offering new hope for tackling antibiotic-resistant infections.The study, published in the journal Science, also raises important biosafety concerns, as the same technology could potentially be misused to design harmful pathogens.How AI Created the Viruses?Chemical engineer Brian Hie and bioengineering graduate student Samuel King developed Evo 2, a generative AI model capable of writing complete DNA sequences and designing entirely new genomes.The researchers focused on bacteriophages, viruses that infect bacteria and are already being explored as alternatives to antibiotics for treating difficult bacterial infections.Using genomes designed by Evo 2, the team synthesized nearly 300 novel phages and tested them against E. coli. From these, they identified 16 highly effective phages that successfully killed bacteria resistant to naturally occurring phages.The researchers believe the ability to rapidly design customized phages could transform phage therapy and expand the arsenal against antibiotic-resistant bacteria.The team redesigned bacteriophage ΦX174, one of the simplest known viruses. Despite its small size, ΦX174 efficiently infects and kills bacteria, making it a valuable model for developing new phage therapies.A New Weapon Against Antibiotic ResistanceOne of the biggest challenges in infectious disease treatment is that bacteria eventually develop resistance to antibiotics—and even to individual phages. To overcome this, the researchers designed a genetically diverse cocktail of 16 AI-created phages."If the bacteria gain resistance to a single phage, it's game over for the medication," Hie said. "But if you have multiple genetically distinct phages in a mixture, it would be harder for the bacteria to develop resistance to the entire cocktail."The team showed that the phage cocktail successfully eliminated E. coli strains that had become resistant to the natural ΦX174 virus."We have a proof of concept in the paper, where we show that this cocktail of 16 phages rapidly overcomes resistance in E. coli that is immune to native ΦX174," Hie said.Potential Beyond E. coliResearchers believe the same AI-driven approach could eventually be used to develop phages against other drug-resistant bacteria, including:Mycobacterium tuberculosis (tuberculosis)Methicillin-resistant Staphylococcus aureus (MRSA)Pseudomonas aeruginosa, a leading cause of antibiotic-resistant hospital-acquired infectionsIf successful, AI-designed phage cocktails could provide a powerful alternative to conventional antibiotics, whose effectiveness continues to decline because of antimicrobial resistance.Biosafety Concerns GrowThe researchers have made Evo 2 freely available as open-source software, allowing scientists around the world to design and study new genomes.While this could accelerate advances in medicine and biotechnology, experts say it also highlights the urgent need for stronger oversight."The ability to compose viral genomes using generative AI now exists; the governance to safely steer it does not," wrote Prof. Tom Inglesby and Dr. Moritz Hanke of the Center for Health Security at Johns Hopkins University in an accompanying Science commentary.Tom Ellis, Professor of Synthetic Genome Engineering at Imperial College London, described the research as impressive but cautioned that AI could theoretically be used to design harmful viruses if trained on the genetic code of dangerous pathogens, The Guardian reported.However, he said safeguards—such as restricting access to sensitive genetic data and screening synthetic genomes before they are manufactured—could help reduce those risks.

ai creates 16 viruses to kill drug-resistant e. coli, raises biosafety concerns

About Us

Contact Us

Terms & Conditions

Privacy Policy

Company

Health and Me is a premium website with content written and curated to function as a handbook for all Health concerns.

AI Creates 16 Viruses To Kill Drug-Resistant E. coli, Raises Biosafety Concerns

Donald Trump Mulls Order Targeting Childhood Vaccines And Autism

Alex Hughes: Former Manchester United Star’s Son Dies of Sudden Adult Death Syndrome

Ebola Outbreak in Congo Surpasses 4,000 Cases; Officials To Probe Whether Bundibugyo Virus Is Mutating

Health Conditions A-Z

AI Creates 16 Viruses To Kill Drug-Resistant E. coli, Raises Biosafety Concerns

Donald Trump Mulls Order Targeting Childhood Vaccines And Autism

Alex Hughes: Former Manchester United Star’s Son Dies of Sudden Adult Death Syndrome